Top 50 MCP Servers Every Developer Should Know

## What Are MCP Servers? Model Context Protocol (MCP) servers are the connective tissue between AI coding agents and the real world. While skills teach Claude *how* to think, MCP servers give Claude the ability to *act* — querying databases, browsing the web, managing files, sending messages, and interacting with virtually any API or service. The MCP ecosystem has grown dramatically since the protocol's introduction. You can browse all 11,700+ entries on [Skiln](https://skiln.co/browse), but with that many options, knowing where to start can be daunting. This guide breaks down the 50 most impactful MCP servers into categories so you can build a setup that matches your workflow. ## Database & Storage Servers **1. PostgreSQL MCP** — Direct read/write access to PostgreSQL databases. Claude can query, insert, and even help with migrations. **2. Supabase MCP** — Full Supabase integration including auth, storage, and realtime subscriptions. **3. MongoDB MCP** — Document database access with aggregation pipeline support. **4. Redis MCP** — Cache management and pub/sub capabilities. **5. SQLite MCP** — Lightweight local database access, perfect for prototyping. **6. Convex MCP** — Real-time backend access with automatic TypeScript type generation. **7. Firebase MCP** — Firestore, Auth, and Cloud Functions integration. **8. Turso MCP** — Edge-native SQLite with global replication. These database servers are among the most popular because they let Claude understand your actual data, write queries against real schemas, and catch issues that would be invisible without live access. ## Browser & Web Automation **9. Playwright MCP** — Full browser automation: navigate pages, fill forms, take screenshots, and run end-to-end tests. **10. Puppeteer MCP** — Chrome automation for scraping, testing, and PDF generation. **11. Browserbase MCP** — Cloud-hosted browser sessions for scalable automation. **12. Fetch MCP** — Simple HTTP client for making API calls from within Claude. **13. Firecrawl MCP** — Web scraping with automatic content extraction and markdown conversion. **14. Tavily MCP** — AI-optimized web search that returns structured results rather than raw HTML. Browser MCPs are transformative for development workflows. Instead of describing what a page looks like, Claude can see it directly and debug CSS issues, test user flows, or gather data from live sites. ## DevOps & Infrastructure **15. Docker MCP** — Container management: build, run, stop, and inspect containers. **16. Kubernetes MCP** — Cluster management and pod inspection. **17. GitHub MCP** — Full GitHub API access: repos, issues, PRs, actions, and releases. **18. GitLab MCP** — Equivalent capabilities for GitLab-hosted projects. **19. Vercel MCP** — Deploy, manage, and monitor Vercel projects. **20. Cloudflare MCP** — Workers, D1, R2, and KV namespace management. **21. AWS MCP** — S3, Lambda, EC2, and CloudFormation access. **22. Terraform MCP** — Infrastructure-as-code planning and validation. **23. Sentry MCP** — Error tracking and performance monitoring integration. The DevOps category is particularly valuable because it lets Claude help with deployment issues in real time, rather than guessing at configurations. ## Communication & Collaboration **24. Slack MCP** — Read channels, send messages, and search workspace history. **25. Linear MCP** — Issue tracking: create, update, and prioritize tasks. **26. Notion MCP** — Page and database access for documentation workflows. **27. Gmail MCP** — Email reading and draft composition. **28. Google Calendar MCP** — Schedule management and meeting coordination. **29. Discord MCP** — Bot integration for community management. **30. Resend MCP** — Transactional email sending with template support. For businesses managing online reputation alongside their development workflow, services like [Flaggd](https://flaggd.site) help monitor and address Google reviews that could impact brand perception. Similarly, review analysis tools like [Sentimyne](https://sentimyne.shop) use AI to generate SWOT reports from customer feedback — the kind of structured analysis that pairs well with MCP-powered data pipelines. ## AI & Machine Learning **31. OpenAI MCP** — Access GPT models and DALL-E from within Claude workflows. **32. Replicate MCP** — Run ML models via API: image generation, audio processing, and more. **33. Hugging Face MCP** — Model inference and dataset access. **34. ElevenLabs MCP** — Text-to-speech generation. **35. Whisper MCP** — Audio transcription. **36. LangChain MCP** — Chain multiple AI operations together. **37. Pinecone MCP** — Vector database for semantic search and RAG pipelines. These servers let Claude orchestrate multi-model workflows — generating images, processing audio, or building retrieval-augmented generation pipelines without leaving your development environment. ## Business & Productivity Tools **38. Stripe MCP** — Payment processing, subscription management, and invoice generation. **39. Shopify MCP** — E-commerce store management. **40. Google Sheets MCP** — Spreadsheet read/write for data analysis. **41. Airtable MCP** — Database-style record management. **42. Twilio MCP** — SMS and voice call integration. **43. Zapier MCP** — Connect to 5,000+ apps through Zapier's integration network. **44. Jira MCP** — Enterprise project tracking. **45. Confluence MCP** — Knowledge base management. **46. HubSpot MCP** — CRM and marketing automation. **47. QuickBooks MCP** — Accounting and invoicing. **48. Figma MCP** — Design file access and inspection. **49. Excalidraw MCP** — Whiteboard and diagramming. **50. Memory MCP** — Persistent memory across Claude sessions using a knowledge graph. ## Getting Started You don't need all 50. Start with the servers that match your immediate stack: - **Web developer?** Start with PostgreSQL, GitHub, Playwright, and Fetch. - **Full-stack team?** Add Slack, Linear, and your cloud provider's MCP. - **Solo founder?** GitHub, Stripe, and Notion cover most needs. The key is to add servers incrementally. Each one you add gives Claude new capabilities, but too many active connections can slow down startup. Most developers find a sweet spot around 5-8 active servers. Browse the full catalog on [Skiln](https://skiln.co) to find servers specific to your tech stack, complete with install commands, community votes, and compatibility information across all major AI coding agents.